Science Research Management

Science Research Management ›› 2025, Vol. 46 ›› Issue (7): 49-59.DOI: 10.19571/j.cnki.1000-2995.2025.07.005

Previous Articles     Next Articles

Research on the configurations for the quantity expansion and quality improvement of regional SRDI enterprises driven by business environment ecosystem

Zhang Yan1,3, Wu Aiqi2, Wang Lu1,2, Yu Weizhen1   

  1. 1. School of Business, Hangzhou City University, Hangzhou 310015, Zhejiang, China;
    2. School of Management, Zhejiang University, Hangzhou 310058, Zhejiang, China;
    3. ESG and Sustainable Development Research Center, Hangzhou City University, Hangzhou 310015, Zhejiang, China
  • Received:2024-04-30 Revised:2025-06-17 Online:2025-07-20 Published:2025-07-14

Abstract:    The business environment ecosystem serves as a critical antecedent for improving both the quantity and quality of regional SRDI (abbreviation for "Specialized, Refined, Differential and Innovative") enterprises. Leveraging the city-level data from China and employing the fuzzy-set Qualitative Comparative Analysis (fsQCA) approach, this paper investigated the ecological configurations through which the business environment ecosystem, under the dual institutional logics of market-government, influences the quantity expansion and quality improvement of regional SRDI enterprises. It proposed three ecological recipes that facilitate the quantity expansion of SRDI enterprises: "service driven comprehensive empowerment under dual institutional logics", "production-finance nexus driven under market dominance" and "industry-research-government co-promotion under government guidance". In parallel, three ecological recipes are identified to improve the quality of SRDI enterprises: "talent-driven comprehensive empowerment under dual institutional logics", "talent-innovation dual-driven under market dominance", and "talent-finance-government co-promotion under government leadership". Additionally, the cosine similarity analysis method was introduced to compare the similarities between high-performance and low-performance configurations for quantity expansion and quality improvement, aiming to identify paths for optimizing the business environment ecosystem. The results indicated that the "quality-first" optimization paths are generally better than the "quantity-first" paths, while the "stock reallocation" and "incremental leap" optimization paths can promote both the quantity and quality of regional SRDI enterprises. These findings will provide theoretical and practical insights for optimizing urban business environment ecosystems and accelerate the development of high-performing SRDI enterprises across regions.

Key words: business environment ecosystem, SRDI enterprise, institutional logics, fsQCA method, cosine similarity analysis